Evidence map›Paper›PMID 36071505›Full record

ArticleAlzheimer's research & therapy2022

Diagnostic performance of automated plasma amyloid-β assays combined with pre-analytical immunoprecipitation.

Hans-W Klafki, Jonathan Vogelgsang, Ekaterina Manuilova, Chris Bauer, Alexander Jethwa, Hermann Esselmann, Anke Jahn-Brodmann, Dirk Osterloh, Ingolf Lachmann, Benedict Breitling and 6 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 3 countries.

Hans-W KlafkiDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Von-Siebold-Str. 5, 37075, Goettingen, Germany. hans.klafki@med.uni-goettingen.de.
Jonathan VogelgsangDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Von-Siebold-Str. 5, 37075, Goettingen, Germany.
Ekaterina ManuilovaRoche Diagnostics GmbH, 82377, Penzberg, Germany.
Chris BauerMicroDiscovery GmbH, Marienburger Strasse 1, 10405, Berlin, Germany.
Alexander JethwaRoche Diagnostics GmbH, 82377, Penzberg, Germany.
Hermann EsselmannDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Von-Siebold-Str. 5, 37075, Goettingen, Germany.
Anke Jahn-BrodmannDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Von-Siebold-Str. 5, 37075, Goettingen, Germany.
Dirk OsterlohRoboscreen GmbH, Hohmannstrasse 7, 04129, Leipzig, Germany.
Ingolf LachmannRoboscreen GmbH, Hohmannstrasse 7, 04129, Leipzig, Germany.
Benedict BreitlingDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Von-Siebold-Str. 5, 37075, Goettingen, Germany.
Carolin RauterDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Von-Siebold-Str. 5, 37075, Goettingen, Germany.
Niels HansenDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Von-Siebold-Str. 5, 37075, Goettingen, Germany.
Caroline BouterDepartment of Nuclear Medicine, University Medical Center Goettingen (UMG), Georg-August-University, 37075, Goettingen, Germany.
Stefan PalmeRoche Diagnostics GmbH, 82377, Penzberg, Germany.
Johannes SchuchhardtMicroDiscovery GmbH, Marienburger Strasse 1, 10405, Berlin, Germany.
Jens WiltfangDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Von-Siebold-Str. 5, 37075, Goettingen, Germany. Jens.Wiltfang@med.uni-goettingen.de.
University of Göttingen · DERoche Pharma AG (Germany) · DEMicroDiscovery (Germany) · DEUniversity of Aveiro · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasurements of the amyloid-β (Aβ) 42/40 ratio in blood plasma may support the early diagnosis of Alzheimer's disease and aid in the selection of suitable participants in clinical trials. Here, we compared the diagnostic performance of fully automated prototype plasma Aβ42/40 assays with and without pre-analytical sample workup by immunoprecipitation.

methodsA pre-selected clinical sample comprising 42 subjects with normal and 38 subjects with low cerebrospinal fluid (CSF) Aβ42/40 ratios was studied. The plasma Aβ42/40 ratios were determined with fully automated prototype Elecsys® immunoassays (Roche Diagnostics GmbH, Penzberg, Germany) by direct measurements in EDTA plasma or after pre-analytical Aβ immunoprecipitation. The diagnostic performance for the detection of abnormal CSF Aβ42/40 was analyzed by receiver operating characteristic (ROC) analysis. In an additional post hoc analysis, a biomarker-supported clinical diagnosis was used as a second endpoint.

resultsPre-analytical immunoprecipitation resulted in a significant increase in the area under the ROC curve (AUC) from 0.73 to 0.88 (p = 0.01547) for identifying subjects with abnormal CSF Aβ42/40. A similar improvement in the diagnostic performance by pre-analytical immunoprecipitation was also observed when a biomarker-supported clinical diagnosis was used as a second endpoint (AUC increase from 0.77 to 0.92, p = 0.01576).

conclusionsOur preliminary observations indicate that pre-analytical Aβ immunoprecipitation can improve the diagnostic performance of plasma Aβ assays for detecting brain amyloid pathology. The findings may aid in the further development of blood-based immunoassays for Alzheimer's disease ultimately suitable for screening and routine use.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersHumansImmunoprecipitationPeptide FragmentsPlasmaAmyloid beta-PeptidesBiomarkersPeptide FragmentsAlzheimer’s diseaseBiomarker assayImmunoprecipitationPlasma Amyloid-β 42/40Pre-analytical sample workup

Identifiers

PMID36071505
PMCPMC9450259
OpenAlexW4294869172

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.